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Why don't you use the Nuget Package Manager that is part of VS ("Tools -> "NuGet Package Manager" -> "Manage NuGet Packages for Solution...") There is a consolidate tab that allows you to keep package versions synchronised across all your projects within the solution. –
Thanks for the direction from the above two answerers. James Thompson's suggestion worked best for Windows users. Go to where your R program is installed. This is referred to as R_Home in the literature. Once you find it, go to the /etc subdirectory. C:\R\R-2.10.1\etc. Select the file in this folder named Rprofile.site.
@chrisinmtown Yes, I think they are both needed. One advantage of find_packages is that if you list packages manually it's easy to forget you need to add sub-packages - e.g. if there was a bar/subbar/__init__.py, you'd have to list both "bar" and "bar.subbar" as packages. –
Option 1 - Google Maps API. The Google Maps API is feature packed and will provide you with a lot of options. The link above is to the Distance Matrix API, which will help with working out distances between 2 points. The results from this will be based on travel (so driving distance), this may or may not be what you want.
Therefore you can leave out checking in packages, because the package-lock.json tracks the exact versions of your node_modules, you're currently using. To install packages from package-lock.json instead of package.json use the command npm ci. Update (3/2016):
For me, issue with one of the project where I had duplicates for nuget with different version in packages.config which stopped the project in downloading packages from nuget.org. Removing duplicate entry in packages.config worked like a charm.
To know installed packages and it's versions for normal python (global): pip list To know installed packages and it's versions for venv python (virtual env): Activate you virtual environment; Then execute pip list; To know installed packages and it's versions for Conda (Anaconda or miniconda): conda list
File "weird.py", line 5, in main. print f(3) UnboundLocalError: local variable 'f' referenced before assignment. Python sees the f is used as a local variable in [f for f in [1, 2, 3]], and decides that it is also a local variable in f(3). You could add a global f statement: def f(x): return x. def main():
1. For Windows, when it must be used, findstr instead of grep works. So, python -m pip show numpy | findstr "Location" gives Location: c:\users\bballdave025\appdata\local\programs\python\python38\lib\site-packages. Modules you have installed with pip are in site packages.
1. Installed packages are kept in this directory: C:\Python\Lib\site-packages. There is a pip command called list. Use this command to see all packages you have installed. There are also some options to use along with this command. See the " pip list documentation for more information.